Biomarker development in the precision medicine era: lung cancer as a case study
AJ Vargas, CC Harris - Nature reviews cancer, 2016 - nature.com
Precision medicine relies on validated biomarkers with which to better classify patients by
their probable disease risk, prognosis and/or response to treatment. Although …
their probable disease risk, prognosis and/or response to treatment. Although …
[HTML][HTML] [18F] FDG-PET/CT radiomics and artificial intelligence in lung cancer: Technical aspects and potential clinical applications
R Manafi-Farid, E Askari, I Shiri, C Pirich… - Seminars in nuclear …, 2022 - Elsevier
Lung cancer is the second most common cancer and the leading cause of cancer-related
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …
[HTML][HTML] Imaging phenotyping using radiomics to predict micropapillary pattern within lung adenocarcinoma
Abstract Introduction Lung adenocarcinomas (ADCs) with a micropapillary pattern have
been reported to have a poor prognosis. However, few studies have reported on the imaging …
been reported to have a poor prognosis. However, few studies have reported on the imaging …
[HTML][HTML] Primary invasive mucinous adenocarcinoma of the lung: prognostic value of CT imaging features combined with clinical factors
Objective To investigate the association between CT imaging features and survival
outcomes in patients with primary invasive mucinous adenocarcinoma (IMA). Materials and …
outcomes in patients with primary invasive mucinous adenocarcinoma (IMA). Materials and …
Importance of CT image normalization in radiomics analysis: prediction of 3-year recurrence-free survival in non-small cell lung cancer
Objectives To analyze whether CT image normalization can improve 3-year recurrence-free
survival (RFS) prediction performance in patients with non-small cell lung cancer (NSCLC) …
survival (RFS) prediction performance in patients with non-small cell lung cancer (NSCLC) …
[PDF][PDF] Role of PET/CT in management of early lung adenocarcinoma
OBJECTIVE. The purpose of this study was to explore the value of FDG PET combined with
high-resolution CT (HRCT) in predicting the pathologic subtypes and growth patterns of …
high-resolution CT (HRCT) in predicting the pathologic subtypes and growth patterns of …
[HTML][HTML] Radiomics nomogram for prediction disease-free survival and adjuvant chemotherapy benefits in patients with resected stage I lung adenocarcinoma
D Xie, TT Wang, SJ Huang, JJ Deng… - Translational Lung …, 2020 - ncbi.nlm.nih.gov
Background Robust imaging biomarkers are needed for risk stratification in stage I lung
adenocarcinoma patients in order to select optimal treatment regimen. We aimed to …
adenocarcinoma patients in order to select optimal treatment regimen. We aimed to …
Prediction of micropapillary and solid pattern in lung adenocarcinoma using radiomic values extracted from near-pure histopathological subtypes
LW Chen, SM Yang, HJ Wang, YC Chen, MW Lin… - European …, 2021 - Springer
Objectives Near-pure lung adenocarcinoma (ADC) subtypes demonstrate strong
stratification of radiomic values, providing basic information for pathological subtyping. We …
stratification of radiomic values, providing basic information for pathological subtyping. We …
Procedure-specific risk prediction for recurrence in patients undergoing lobectomy or sublobar resection for small (≤ 2 cm) lung adenocarcinoma: an international …
S Bains, T Eguchi, A Warth, YC Yeh, J Nitadori… - Journal of Thoracic …, 2019 - Elsevier
Introduction This work was performed to develop and validate procedure-specific risk
prediction for recurrence following resection for early-stage lung adenocarcinoma (ADC) …
prediction for recurrence following resection for early-stage lung adenocarcinoma (ADC) …
Radiomics is feasible for prediction of spread through air spaces in patients with nonsmall cell lung cancer
Tumor spread through air spaces (STAS) in non-small-cell lung cancer (NSCLC) is known to
influence a poor patient outcome, even in patients presenting with early-stage disease …
influence a poor patient outcome, even in patients presenting with early-stage disease …